Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Smartphone-based human activity reco...
~
Ortiz, Jorge Luis Reyes.
Linked to FindBook
Google Book
Amazon
博客來
Smartphone-based human activity recognition
Record Type:
Electronic resources : Monograph/item
Title/Author:
Smartphone-based human activity recognition/ by Jorge Luis Reyes Ortiz.
Author:
Ortiz, Jorge Luis Reyes.
Published:
Cham :Springer International Publishing : : 2015.,
Description:
xxiii, 133 p. :ill., digital ;24 cm.
[NT 15003449]:
Human Activity Recognition Essentials -- Data Collection and Offline Activity Recognition -- Online Activity Recognition with Smartphones.
Contained By:
Springer eBooks
Subject:
Human activity recognition. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-14274-6
ISBN:
9783319142746 (electronic bk.)
Smartphone-based human activity recognition
Ortiz, Jorge Luis Reyes.
Smartphone-based human activity recognition
[electronic resource] /by Jorge Luis Reyes Ortiz. - Cham :Springer International Publishing :2015. - xxiii, 133 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..
Human Activity Recognition Essentials -- Data Collection and Offline Activity Recognition -- Online Activity Recognition with Smartphones.
The book reports on the author's original work to address the use of today's state-of-the-art smartphones for human physical activity recognition. By exploiting the sensing, computing and communication capabilities currently available in these devices, the author developed a novel smartphone-based activity-recognition system, which takes into consideration all aspects of online human activity recognition, from experimental data collection, to machine learning algorithms and hardware implementation. The book also discusses and describes solutions to some of the challenges that arose during the development of this approach, such as real-time operation, high accuracy, low battery consumption and unobtrusiveness. It clearly shows that it is possible to perform real-time recognition of activities with high accuracy using current smartphone technologies. As well as a detailed description of the methods, this book also provides readers with a comprehensive review of the fundamental concepts in human activity recognition. It also gives an accurate analysis of the most influential works in the field and discusses them in detail. This thesis was supervised by both the Universitat Politecnica de Catalunya (primary institution) and University of Genoa (secondary institution) as part of the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments.
ISBN: 9783319142746 (electronic bk.)
Standard No.: 10.1007/978-3-319-14274-6doiSubjects--Topical Terms:
2002448
Human activity recognition.
LC Class. No.: TK7882.P7
Dewey Class. No.: 006.3
Smartphone-based human activity recognition
LDR
:02537nmm a2200349 a 4500
001
1994948
003
DE-He213
005
20150902110105.0
006
m d
007
cr nn 008maaau
008
151019s2015 gw s 0 eng d
020
$a
9783319142746 (electronic bk.)
020
$a
9783319142739 (paper)
024
7
$a
10.1007/978-3-319-14274-6
$2
doi
035
$a
978-3-319-14274-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK7882.P7
072
7
$a
TTBM
$2
bicssc
072
7
$a
UYS
$2
bicssc
072
7
$a
TEC008000
$2
bisacsh
072
7
$a
COM073000
$2
bisacsh
082
0 4
$a
006.3
$2
23
090
$a
TK7882.P7
$b
O77 2015
100
1
$a
Ortiz, Jorge Luis Reyes.
$3
2134080
245
1 0
$a
Smartphone-based human activity recognition
$h
[electronic resource] /
$c
by Jorge Luis Reyes Ortiz.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
xxiii, 133 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Springer theses,
$x
2190-5053
505
0
$a
Human Activity Recognition Essentials -- Data Collection and Offline Activity Recognition -- Online Activity Recognition with Smartphones.
520
$a
The book reports on the author's original work to address the use of today's state-of-the-art smartphones for human physical activity recognition. By exploiting the sensing, computing and communication capabilities currently available in these devices, the author developed a novel smartphone-based activity-recognition system, which takes into consideration all aspects of online human activity recognition, from experimental data collection, to machine learning algorithms and hardware implementation. The book also discusses and describes solutions to some of the challenges that arose during the development of this approach, such as real-time operation, high accuracy, low battery consumption and unobtrusiveness. It clearly shows that it is possible to perform real-time recognition of activities with high accuracy using current smartphone technologies. As well as a detailed description of the methods, this book also provides readers with a comprehensive review of the fundamental concepts in human activity recognition. It also gives an accurate analysis of the most influential works in the field and discusses them in detail. This thesis was supervised by both the Universitat Politecnica de Catalunya (primary institution) and University of Genoa (secondary institution) as part of the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments.
650
0
$a
Human activity recognition.
$3
2002448
650
0
$a
Smartphones.
$3
928848
650
0
$a
Location-based services.
$3
1061965
650
1 4
$a
Engineering.
$3
586835
650
2 4
$a
Signal, Image and Speech Processing.
$3
891073
650
2 4
$a
User Interfaces and Human Computer Interaction.
$3
892554
650
2 4
$a
Robotics and Automation.
$3
1066695
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
Springer theses.
$3
1314442
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-14274-6
950
$a
Engineering (Springer-11647)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9267651
電子資源
11.線上閱覽_V
電子書
EB TK7882.P7
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login